Literature DB >> 20412097

Non-invasive ICG-clearance: a useful tool for the management of hepatic artery thrombosis following liver transplantation.

E Levesque1, E Hoti, D Azoulay, R Adam, D Samuel, D Castaing, F Saliba.   

Abstract

BACKGROUND: The clinical presentation of hepatic artery thrombosis (HAT) post-liver transplantation (LT) varies considerably. Doppler ultrasonography (Doppler US) is the first line investigation, with a diagnostic sensitivity for HAT as high as 92%. Because indocyanine green (ICG) elimination from the blood depends among other factors on the hepatic blood flow, we hypothesized that plasma disappearance rate of indocyanine green (PDR-ICG) can be influenced by the flow in the hepatic artery. Thus, we evaluated the role of PDR-ICG measurement in HAT diagnosis in post-LT patients. PATIENTS AND METHODS: Fourteen liver transplant patients with no visible flow in the hepatic artery (Doppler US) were identified. Of the 14, seven patients had HAT confirmed by CT-angiography. The PDR-ICG measurement, an investigation routinely used in our center, was performed in all 14 patients.
RESULTS: The PDR-ICG in patients with HAT was significantly lower than in patients without HAT (5.8 ± 4.3 vs. 23.8 ± 7.4%/min, p= 0.0009). In patients with HAT, after the revascularization, the PDR-ICG value increased (5.8 ± 4.3 vs. 15.6 ± 3.5%/min, p = 0.006).
CONCLUSION: The ICG elimination may be an adjunct diagnostic tool in the management of patients with suspected HAT following LT.
© 2010 John Wiley & Sons A/S.

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Year:  2011        PMID: 20412097     DOI: 10.1111/j.1399-0012.2010.01252.x

Source DB:  PubMed          Journal:  Clin Transplant        ISSN: 0902-0063            Impact factor:   2.863


  12 in total

1.  Indocyanine green dye clearance test: early graft (dys)-function and long-term mortality after liver transplant. Should we continue to use it? An observational study.

Authors:  Vittorio Cherchi; Luigi Vetrugno; Victor Zanini; Thomas Isler; Riccardo Pravisani; Alice Borghi; Umberto Baccarani; Giovanni Terrosu; Andrea Risaliti; Tiziana Bove
Journal:  J Clin Monit Comput       Date:  2020-03-12       Impact factor: 2.502

2.  The combination of indocyanine green clearance test and model for end-stage liver disease score predicts early graft outcome after liver transplantation.

Authors:  Tang Yunhua; Ju Weiqiang; Chen Maogen; Yang Sai; Zhang Zhiheng; Wang Dongping; Guo Zhiyong; He Xiaoshun
Journal:  J Clin Monit Comput       Date:  2017-08-22       Impact factor: 2.502

Review 3.  Indocyanine green kinetics to assess liver function: Ready for a clinical dynamic assessment in major liver surgery?

Authors:  Andrea De Gasperi; Ernestina Mazza; Manlio Prosperi
Journal:  World J Hepatol       Date:  2016-03-08

4.  A rapid, reproducible, noninvasive predictor of liver graft survival.

Authors:  Ali Zarrinpar; Coney Lee; Emily Noguchi; Hasan Yersiz; Vatche G Agopian; Fady M Kaldas; Douglas G Farmer; Ronald W Busuttil
Journal:  J Surg Res       Date:  2015-04-07       Impact factor: 2.192

5.  Donor Indocyanine Green Clearance Test Predicts Graft Quality and Early Graft Prognosis After Liver Transplantation.

Authors:  Yunhua Tang; Ming Han; Maogen Chen; Xiaoping Wang; Fei Ji; Qiang Zhao; Zhiheng Zhang; Weiqiang Ju; Dongping Wang; Zhiyong Guo; Xiaoshun He
Journal:  Dig Dis Sci       Date:  2017-09-20       Impact factor: 3.199

6.  Association between the donor to recipient ICG-PDR variation rate and the functional recovery of the graft after orthotopic liver transplantation: A case series.

Authors:  Vittorio Cherchi; Luigi Vetrugno; Giovanni Terrosu; Victor Zanini; Marco Ventin; Riccardo Pravisani; Francesco Tumminelli; Pier Paolo Brollo; Erica Boscolo; Roberto Peressutti; Dario Lorenzin; Tiziana Bove; Andrea Risaliti; Umberto Baccarani
Journal:  PLoS One       Date:  2021-08-27       Impact factor: 3.240

7.  Intraoperative Indocyanine Green Angiography for Assessing Flap Perfusion in Skull Base Reconstruction: A Systematic Review.

Authors:  Noah Shaikh; Daniel O'Brien; Chadi Makary; Meghan Turner
Journal:  J Neurol Surg B Skull Base       Date:  2021-07-19

Review 8.  Predictive factors of short term outcome after liver transplantation: A review.

Authors:  Giuliano Bolondi; Federico Mocchegiani; Roberto Montalti; Daniele Nicolini; Marco Vivarelli; Lesley De Pietri
Journal:  World J Gastroenterol       Date:  2016-07-14       Impact factor: 5.742

9.  A comprehensive method for predicting fatal liver failure of patients with liver cancer resection.

Authors:  Jiangfa Li; Biao Lei; Xingju Nie; Linku Lin; Syed Abdul Tahir; Wuxiang Shi; Junfei Jin; Songqing He
Journal:  Medicine (Baltimore)       Date:  2015-05       Impact factor: 1.889

10.  Predictive Value of Indocyanine Green Plasma Disappearance Rate on Liver Function and Complications After Liver Transplantation.

Authors:  Yan Sun; Lixin Yu; Yihe Liu
Journal:  Med Sci Monit       Date:  2018-06-01
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